Applied Scientist, PXT Central Science — ML at Scale

Amazon

Arlington (VA)

On-site

USD 143,000 - 193,000

Full time

8 days ago

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Benefits offered by this job

Health insurance
RSUs

Job summary

Amazon is seeking an Applied Scientist to design, develop, and deploy production ML solutions at scale, solving business problems for millions of users. You will work on predictive modeling, NLP, recommendations, and generative AI, collaborating with cross-functional teams to translate challenges into rigorous technical solutions.

The team, PXTCS, blends economics, statistics, and machine learning to improve Amazon and the lives of Amazonians.

Qualifications

  • 3+ years of building models for business application experience.
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python or related language.

Responsibilities

  • Design and deploy large-scale machine learning systems in production environments.
  • Develop innovative ML solutions using state-of-the-art techniques including deep learning, NLP, and generative AI.
  • Create ML solutions that personalize manager on-boarding and development experiences—identifying individual capability gaps, recommending tailored learning pathways, and measuring development effectiveness across diverse manager populations and contexts.
  • Partner to build causal inference models and experimental frameworks to measure impact.
  • Collaborate with product managers, engineers, and business leaders to define technical roadmaps.
  • Communicate complex technical concepts to diverse audiences, from technical peers to senior leadership.

Skills

Java
Python
C++
NLP
ML algorithms

Education

PhD in CS/CE/ML
MS in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon is seeking an Applied Scientist to design, develop, and deploy production ML solutions at scale, solving business problems for millions of users. You will work on predictive modeling, NLP, recommendations, and generative AI, collaborating with cross-functional teams to translate challenges into rigorous technical solutions.

The team, PXTCS, blends economics, statistics, and machine learning to improve Amazon and the lives of Amazonians.

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